Literature DB >> 2240359

Variations in malaria transmission rates are not related to anopheline survivorship per feeding cycle.

T R Burkot1, P M Graves, R Paru, D Battistutta, A Barnes, A Saul.   

Abstract

Anopheline survivorship, vectorial capacity, and mosquito infection probability estimates from mosquito infection rates were determined 4 times in 1 year in a Papua New Guinea village. Estimates of survivorship over the length of the extrinsic incubation period differed significantly during the year. However, survivorship per feeding cycle, individual mosquito vectorial capacity, and mosquito infection probability did not vary significantly. Estimates of these parameters were then compared to estimates of survivorship, individual vectorial capacity, and mosquito infection probability in mosquito populations in other villages in the study area. Since survivorship per feeding cycle did not vary significantly among the mosquito populations in these villages, changes in malaria transmission potential can be better gauged from estimates of survivorship over the length of the extrinsic incubation period. However, as measurements of relative inoculation rates are easier to perform and have been related to parasite prevalences in children in this area, estimates of inoculation rates are a preferred option for estimating malaria transmission in the Madang area of Papua New Guinea.

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Year:  1990        PMID: 2240359     DOI: 10.4269/ajtmh.1990.43.321

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  9 in total

1.  The potential impact of integrated malaria transmission control on entomologic inoculation rate in highly endemic areas.

Authors:  G F Killeen; F E McKenzie; B D Foy; C Schieffelin; P F Billingsley; J C Beier
Journal:  Am J Trop Med Hyg       Date:  2000-05       Impact factor: 2.345

Review 2.  Measuring changes in Plasmodium falciparum transmission: precision, accuracy and costs of metrics.

Authors:  Lucy S Tusting; Teun Bousema; David L Smith; Chris Drakeley
Journal:  Adv Parasitol       Date:  2014       Impact factor: 3.870

3.  A simplified model for predicting malaria entomologic inoculation rates based on entomologic and parasitologic parameters relevant to control.

Authors:  G F Killeen; F E McKenzie; B D Foy; C Schieffelin; P F Billingsley; J C Beier
Journal:  Am J Trop Med Hyg       Date:  2000-05       Impact factor: 2.345

4.  On the delayed Ross-Macdonald model for malaria transmission.

Authors:  Shigui Ruan; Dongmei Xiao; John C Beier
Journal:  Bull Math Biol       Date:  2008-01-30       Impact factor: 1.758

5.  Light traps fail to estimate reliable malaria mosquito biting rates on Bioko Island, Equatorial Guinea.

Authors:  Hans J Overgaard; Solve Saebø; Michael R Reddy; Vamsi P Reddy; Simon Abaga; Abrahan Matias; Michel A Slotman
Journal:  Malar J       Date:  2012-02-24       Impact factor: 2.979

6.  Interrupting malaria transmission: quantifying the impact of interventions in regions of low to moderate transmission.

Authors:  Michelle L Gatton; Qin Cheng
Journal:  PLoS One       Date:  2010-12-02       Impact factor: 3.240

7.  Survivorship of Anopheles darlingi (Diptera: Culicidae) in relation with malaria incidence in the Brazilian Amazon.

Authors:  Fábio Saito Monteiro de Barros; Nildimar Alves Honório; Mércia Eliane Arruda
Journal:  PLoS One       Date:  2011-08-08       Impact factor: 3.240

8.  A malaria transmission-directed model of mosquito life cycle and ecology.

Authors:  Philip A Eckhoff
Journal:  Malar J       Date:  2011-10-17       Impact factor: 2.979

9.  'Nature or nurture': survival rate, oviposition interval, and possible gonotrophic discordance among South East Asian anophelines.

Authors:  J Derek Charlwood; Somalay Nenhep; Siv Sovannaroth; John C Morgan; Janet Hemingway; Nakul Chitnis; Olivier J T Briët
Journal:  Malar J       Date:  2016-07-12       Impact factor: 2.979

  9 in total

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